Growth Hacking intermediate 4-6 hours (setup and planning)

How to Run Pricing Experiments for Revenue Optimisation

Learn how to scientifically test and optimise your pricing strategy to increase profit margins and customer lifetime value for your Australian business.

Sarah 30 January 2026

Pricing is often the most powerful lever for growth, yet many Australian small business owners set their prices based on a 'gut feeling' or simply by copying what the bloke down the road is charging. Implementing structured pricing experiments allows you to move beyond guesswork and find the sweet spot where your customers feel they are getting value, and your business achieves maximum profitability.

In this guide, we will walk you through the process of designing and executing pricing experiments that can significantly boost your bottom line without alienating your existing customer base.

Prerequisites

Before you start, ensure you have the following:
  • Baseline Data: At least three months of sales data (conversion rates, average order value, and profit margins).
  • Analytics Setup: Google Analytics 4 (GA4) or a similar tool to track user behaviour.
  • A Clear Goal: Are you trying to increase total revenue, profit margins, or market share?
  • A Testing Tool: Depending on your tech stack, you might use Google Optimize (or its successors), Optimizely, or simple manual tracking via your e-commerce platform (like Shopify or WooCommerce).

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Step 1: Identify Your Primary Metric

Before changing a single dollar sign, you must define what success looks like. Increasing price might lower your conversion rate but increase your total profit. Conversely, lowering price might increase volume but kill your margins. Common metrics include:
  • ARPU (Average Revenue Per User): Ideal for subscription models.
  • AOV (Average Order Value): Crucial for e-commerce.
  • Gross Profit Margin: The most important metric for sustainable growth.

Step 2: Analyse Your Current Price Sensitivity

Look at your historical data. Have you raised prices in the past? How did your customers react? If you are an Australian service provider, look at your 'quote-to-win' ratio. If you are winning 90% of your quotes, your prices are likely too low. If you are winning less than 20%, you may be priced out of the market or failing to communicate value.

Step 3: Choose Your Experiment Type

There are several ways to test pricing without changing your base price for everyone at once:
  • A/B Price Testing: Showing different prices to different segments of traffic (requires specific software).
  • Price Anchoring: Introducing a 'Premium' or 'Pro' tier to make your standard price look more attractive.
  • Discounting vs. Value-Add: Testing whether a $10 discount performs better than 'Free Shipping' (which might cost you less than $10).
  • Charm Pricing: Testing $97 vs. $100.

Step 4: Segment Your Audience

Never test new pricing on your most loyal, long-term customers first. They are the most sensitive to changes. Instead, run your experiments on new traffic or a specific geographic segment. For example, you could test a new pricing structure specifically for customers in Sydney before rolling it out to your Brisbane or Melbourne markets.

Step 5: Establish a Control Group

To know if your experiment worked, you need a baseline. Your control group will see your current 'Original' price. Your variant group will see the 'Experimental' price. Ensure the traffic is split randomly to prevent bias (e.g., don't show the lower price only on weekends when people might be more likely to buy anyway).

Step 6: Set a Minimum Sample Size

For a pricing experiment to be statistically significant, you need enough data. If you only have 10 sales a month, a pricing experiment will take a long time to yield results. Aim for a sample size that gives you at least a 95% confidence level. Tools like the 'AB Test Calculator' can help you determine how many visitors you need.

Step 7: Update Your Website Assets

Screenshot Description: You should see your product page editor. Ensure the price field is dynamic or that you have created a duplicate 'test' landing page with the new price.

If you are doing a manual test, ensure all mentions of price are updated—including the checkout page, FAQs, and any automated email sequences. Inconsistency in pricing is a quick way to lose trust.

Step 8: Communicate the Value, Not Just the Cost

When testing a higher price, you must simultaneously test 'Value Hooks'. If you increase a service price by 20%, update your copy to highlight your Australian-based support, your ABN-registered reliability, or your faster turnaround times. People don't mind paying more if they understand why.

Step 9: Launch and Monitor Closely

Hit the 'Go' button on your experiment. During the first 48 hours, monitor your checkout flow like a hawk. Look for 'Cart Abandonment' spikes. If your abandonment rate triples, something might be wrong with the technical setup or the price jump is too aggressive.

Step 10: Analyse the Results

Once you have reached your required sample size, look beyond the surface.
  • Scenario A: The higher price resulted in 10% fewer sales but 15% more total profit. This is a win.
  • Scenario B: The lower price resulted in 50% more sales but 5% less total profit. This is a loss unless your goal is rapid market share acquisition.

Step 11: Implement the Winner

Once a winner is declared, roll it out to the rest of your audience. If you are increasing prices for existing customers, send a transparent email explaining the change. Mention rising costs or improved service features to soften the blow.

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Pro Tips for Success

  • The Rule of 9: In Australia, prices ending in .95 or .99 still perform remarkably well for B2C retail. For B2B, round numbers (e.g., $1,500) often signal higher quality and professionalism.
  • Bundle Testing: Instead of lowering the price of one item, try bundling three items together for a slight discount. This increases AOV and clears stock.
  • Context Matters: A $50 steak feels expensive at a local pub but cheap at a high-end CBD bistro. Ensure your website design matches your price point.

Common Mistakes to Avoid

  • Testing Too Many Variables: Don't change your price and your website layout at the same time. You won't know which one caused the change in performance.
  • Ignoring Seasonality: Don't run a pricing test during the EOFY (End of Financial Year) or Black Friday sales, as buyer behaviour is skewed during these periods.
  • Price Gouging: Be ethical. Australian Consumer Law (overseen by the ACCC) has strict rules about 'was/is' pricing and misleading conduct.

Troubleshooting

  • No change in conversion? Your price change might be too small. A $1 difference on a $100 product rarely triggers a change in behaviour. Try a 10-15% shift.
  • High bounce rate on the pricing page? Your price might be fine, but your 'Value Proposition' isn't clear enough. Review your copy before lowering the price.
  • Technical glitches? If users see two different prices at different stages of the funnel, they will leave. Use a VPN or Incognito mode to test the user journey yourself.

Next Steps

Now that you've mastered pricing experiments, you should look into Conversion Rate Optimisation (CRO) to ensure your landing pages are working as hard as possible.

If you need help setting up advanced tracking or designing a growth strategy for your business, the team at Local Marketing Group is here to help. Contact us today to discuss your revenue goals.

pricing strategygrowth hackingrevenue optimisationAB testing

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